Exploring user data privacy interfaces for mobile UIS
Guo, Carl
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https://hdl.handle.net/2142/120452
Description
Title
Exploring user data privacy interfaces for mobile UIS
Author(s)
Guo, Carl
Issue Date
2023-05-03
Director of Research (if dissertation) or Advisor (if thesis)
Kumar, Ranjitha
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Mobile Privacy
Interaction Mining
Personally Identifiable Informaiton
Language
eng
Abstract
Many applications view user privacy protection through the perspective of securing users’ personally identifiable information (PII) such as email addresses, full names, and government identification. However, findings indicate certain types of data in mobile applications exist that are not covered by current PII definitions and tools. In this thesis, we will introduce new tools we built to facilitate the exploration of new understandings of user privacy for mobile UIs. Specifically, we created a privacy redaction probe that enables users to easily redact UI regions on a mobile screen they consider “too sensitive to share”. We also disclose some initial design principles we considered when building these interfaces. Next, we implemented two differing versions of our UI redaction tool and integrate them into two mobile interaction mining systems to test our privacy probe’s usefulness in redacting sensitive UI data inside interaction traces. Finally, to evaluate our implementation and demonstrate an example use case for our redaction interface, we conduct a user study where we asked users record interaction traces on their personal accounts and redact UI regions they consider ”too sensitive to share.” By analyzing these redactions through open iterative coding, we identified some trends in user attitudes in regards to sensitive UI content.
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